An open training and inference stack for Jev-style decision models. Train models to score dynamic candidate branches from a shared prefix, with support for high-cardinality choice, calibration, and fast batched inference.
The link points at the commit we read, so the line number still holds.
This one cannot run here
Its question set is assembled at runtime, or never written out literally in the code, so there is nothing to lift. The source link above will show you.
Other projects in this category
NanoJev ▶ — A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
kev ▶ — tiny Jev-like model built on top of Qwen2.5-0.5B you can train and run on your MacBook
reflex ▶ — A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
von ▶ — The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
OpenDecision ▶ — OpenDecision is an open-source semantic decision engine like typesafe's jev.